Vertex AI is Google Cloud’s AI and ML platform. It provides a set of tools for building, deploying, and scaling ML models. Although the tools in Vertex AI use Google Gemini models, they also provide infrastructure and MLOps capabilities.
If Google Gemini is the engine, then Vertex AI is a workshop where developers can put this engine into different kinds of cars.
Tools and Features
Some of the tools and features offered in Vertex AI include:
- Vertex AI Workbench: A managed development environment for data scientists and ML engineers
- Vertex AI Training: Supports training custom ML models using your own data
- Vertex AI Prediction: Supports deploying trained models for online or batch predictions
- Vertex AI Pipelines: A service for building and orchestrating ML workflows
- Vertex AI Model Registry: a centralized repository for storing and managing trained models. This provides versioning and metadata tracking. This is similar I guess to Artifact Registry.
- Vertex AI Model Garden: A Google-curated selection of the best models. Note that this includes models created by Google, other companies, and open-source models.